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Journal of System Simulation

Abstract

Abstract: A multi-modality modeling method for time series data based on fuzzy cognitive maps is proposed to address the problem that a single model is difficult to accurately reflect the multi-modal characteristics of time series.The bootstrap method is used to select multiple sub-sequences from the original time serieswhich contain the diverse modality in the original time series. The fuzzy cognitive map sub-models are constructed on each sub-sequencesrespectively. The formed sub-models are further merged by means of granular computing method and the merging performance with different weighting strategies is analyzed. The developed multi-modal model not only has prediction abilities at the numeric and interval level, but also has better interpretability. Experimental results on public datasets exhibit the usefulness and satisfactory efficiency of the proposed approach.

First Page

543

Revised Date

2021-01-09

Last Page

554

CLC

TP274

Recommended Citation

Guoliang Feng, Wei Lu, Jianhua Yang. Modeling Time Series Using Multi-Modality Fuzzy Cognitive Maps[J]. Journal of System Simulation, 2022, 34(3): 543-554.

Corresponding Author

Wei Lu,luwei@dlut.edu.cn

DOI

10.16182/j.issn1004731x.joss.20-0834

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